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Volumn 14, Issue 4, 1999, Pages 1673-1678

Neural network based control for synchronous generators

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FEEDBACK CONTROL; INTELLIGENT CONTROL; MATHEMATICAL MODELS; NEURAL NETWORKS;

EID: 0033337367     PISSN: 08858969     EISSN: None     Source Type: Journal    
DOI: 10.1109/60.815122     Document Type: Article
Times cited : (43)

References (17)
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  • 3
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    • 29-30th March, Bradford, U.K.
    • I Eker, "Robust Cascade Control Design for Process Control", AMST '94 Application of Multivariable System Techniques, 29-30th March, Bradford, U.K., pp 119-131
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    • Eker, I.1
  • 5
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    • I Eker, "Multivariable Polynomial H-Infinity AVR Design For Synchronous Generators" Universities Power Engineering Conference 1996, pp 473-476.
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    • Eker, I.1
  • 6
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    • Cybenko, G.1
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  • 9
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    • Radial basis functions for multivariate interpolation
    • J.C Mason and M.G. Cox (Eds.), Clarendon Press, Oxford
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    • (1987) Algorithms for Approximation , pp. 143-168
    • Powell, M.J.D.1
  • 10
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    • Multivariable functional interpolation and adaptive networks
    • DS Broomhead, D Lowe, "Multivariable functional interpolation and adaptive networks", Complex Systems, Vol. 2, 1988, pp. 321-395.
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  • 11
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    • A Radial Basis Function Control Strategy and its Application to a pH Neutralisation Process
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  • 12
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    • Chen, S.1    Billings, S.A.2    Grant, P.M.3
  • 13
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    • Hybrid learning algorithm for Gaussian potential function networks
    • Nov.
    • CL Chen, WC Chen, FY Chang., "Hybrid learning algorithm for Gaussian potential function networks", IEE Proc. D., vol. 140, No. 6, pp. 442-448, Nov. 1993.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.